Atharv Gyan

As a React developer, you’ll eventually experience the urge to take that next large step into a senior role. Many of us stay stuck as a junior or mid-level developer, even as we get more experienced.  Here are some very common interview questions you may be asked while interviewing for a senior -level position as a React developer. 1. Can you describe a situation where you had to optimize a React application to improve its performance? How did you go about doing this? ⨠ As a candidate for a senior React developer position, you will be expected at times to know how to optimize a React app for better performance. Understanding React’s lifecycle and hooks can help with this. Some ways of optimizing a React app’s performance can include Avoiding unnecessary rerenders Using a UID (unique identifier) when rendering lists Using hooks such as useMemo and useCallback to memoize expense functions Mounting checks. 2. How do you handle state management in a large React application? ⨠   T...

Generative AI is revolutionizing software development by introducing tools and systems that assist developers at various stages of the software lifecycle. Tools like ChatGPT and GitHub Copilot are at the forefront of this transformation, making software engineering more efficient, accessible, and innovative. Key Areas of Impact Code Generation Generative AI tools help developers write code faster by generating entire blocks of code from simple prompts. Example: A developer can ask GitHub Copilot to "write a function to sort an array using QuickSort" and receive an optimized code snippet almost instantly. This reduces boilerplate coding, allowing developers to focus on solving higher-level problems. Debugging and Error Resolution AI tools analyze code for errors and provide real-time suggestions for fixes. ChatGPT's Role: Developers can describe their issue to ChatGPT, which offers explanations for bugs and even recommends solutions. This is particularly useful for under...

Serverless computing represents a paradigm shift in cloud computing, offering developers the ability to focus solely on writing and deploying code without the need to manage servers or infrastructure. This revolutionary approach to building and scaling applications has gained immense popularity due to its cost-effectiveness, scalability, and ease of use. What is Serverless Computing? Contrary to its name, serverless computing does not mean there are no servers involved. Instead, it refers to the abstraction of server management away from developers. In a serverless architecture, developers write and upload functions or code snippets to a cloud provider, which then takes care of dynamically allocating and managing the necessary resources to run those functions. This eliminates the need for developers to provision, scale, or manage servers, allowing them to focus solely on writing application logic. Key Features and Benefits: Auto-scaling: Serverless platforms automatically scale resou...